Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use pbwt/th1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pbwt/th1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pbwt/th1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pbwt/th1") model = AutoModelForSequenceClassification.from_pretrained("pbwt/th1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from pbwt/th1: direct link, hf CLI and curl.
- Browser
- Download file 434 MB
-
https://huggingface.co/pbwt/th1/resolve/main/tf_model.h5
- Command line
-
hf download hf://pbwt/th1/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/pbwt/th1/resolve/main/tf_model.h5
434 MB
- Xet hash:
- 7b3ef32d2b4c229ae830072c5fe5a2af8a537461bf84209c396d47e586c2bec5
- Size of remote file:
- 434 MB
- SHA256:
- dd9788c7e4861a782f0df08fc1bd9965ba602b4ac6d1b0bf785071414215a0a1
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